Cargando…
A spiking and adapting tactile sensor for neuromorphic applications
The ongoing research on and development of increasingly intelligent artificial systems propels the need for bio inspired pressure sensitive spiking circuits. Here we present an adapting and spiking tactile sensor, based on a neuronal model and a piezoelectric field-effect transistor (PiezoFET). The...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7560658/ https://www.ncbi.nlm.nih.gov/pubmed/33057032 http://dx.doi.org/10.1038/s41598-020-74219-1 |
_version_ | 1783595130373013504 |
---|---|
author | Birkoben, Tom Winterfeld, Henning Fichtner, Simon Petraru, Adrian Kohlstedt, Hermann |
author_facet | Birkoben, Tom Winterfeld, Henning Fichtner, Simon Petraru, Adrian Kohlstedt, Hermann |
author_sort | Birkoben, Tom |
collection | PubMed |
description | The ongoing research on and development of increasingly intelligent artificial systems propels the need for bio inspired pressure sensitive spiking circuits. Here we present an adapting and spiking tactile sensor, based on a neuronal model and a piezoelectric field-effect transistor (PiezoFET). The piezoelectric sensor device consists of a metal-oxide semiconductor field-effect transistor comprising a piezoelectric aluminium-scandium-nitride (Al(x)Sc(1−x)N) layer inside of the gate stack. The so augmented device is sensitive to mechanical stress. In combination with an analogue circuit, this sensor unit is capable of encoding the mechanical quantity into a series of spikes with an ongoing adaptation of the output frequency. This allows for a broad application in the context of robotic and neuromorphic systems, since it enables said systems to receive information from the surrounding environment and provide encoded spike trains for neuromorphic hardware. We present numerical and experimental results on this spiking and adapting tactile sensor. |
format | Online Article Text |
id | pubmed-7560658 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75606582020-10-19 A spiking and adapting tactile sensor for neuromorphic applications Birkoben, Tom Winterfeld, Henning Fichtner, Simon Petraru, Adrian Kohlstedt, Hermann Sci Rep Article The ongoing research on and development of increasingly intelligent artificial systems propels the need for bio inspired pressure sensitive spiking circuits. Here we present an adapting and spiking tactile sensor, based on a neuronal model and a piezoelectric field-effect transistor (PiezoFET). The piezoelectric sensor device consists of a metal-oxide semiconductor field-effect transistor comprising a piezoelectric aluminium-scandium-nitride (Al(x)Sc(1−x)N) layer inside of the gate stack. The so augmented device is sensitive to mechanical stress. In combination with an analogue circuit, this sensor unit is capable of encoding the mechanical quantity into a series of spikes with an ongoing adaptation of the output frequency. This allows for a broad application in the context of robotic and neuromorphic systems, since it enables said systems to receive information from the surrounding environment and provide encoded spike trains for neuromorphic hardware. We present numerical and experimental results on this spiking and adapting tactile sensor. Nature Publishing Group UK 2020-10-14 /pmc/articles/PMC7560658/ /pubmed/33057032 http://dx.doi.org/10.1038/s41598-020-74219-1 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Birkoben, Tom Winterfeld, Henning Fichtner, Simon Petraru, Adrian Kohlstedt, Hermann A spiking and adapting tactile sensor for neuromorphic applications |
title | A spiking and adapting tactile sensor for neuromorphic applications |
title_full | A spiking and adapting tactile sensor for neuromorphic applications |
title_fullStr | A spiking and adapting tactile sensor for neuromorphic applications |
title_full_unstemmed | A spiking and adapting tactile sensor for neuromorphic applications |
title_short | A spiking and adapting tactile sensor for neuromorphic applications |
title_sort | spiking and adapting tactile sensor for neuromorphic applications |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7560658/ https://www.ncbi.nlm.nih.gov/pubmed/33057032 http://dx.doi.org/10.1038/s41598-020-74219-1 |
work_keys_str_mv | AT birkobentom aspikingandadaptingtactilesensorforneuromorphicapplications AT winterfeldhenning aspikingandadaptingtactilesensorforneuromorphicapplications AT fichtnersimon aspikingandadaptingtactilesensorforneuromorphicapplications AT petraruadrian aspikingandadaptingtactilesensorforneuromorphicapplications AT kohlstedthermann aspikingandadaptingtactilesensorforneuromorphicapplications AT birkobentom spikingandadaptingtactilesensorforneuromorphicapplications AT winterfeldhenning spikingandadaptingtactilesensorforneuromorphicapplications AT fichtnersimon spikingandadaptingtactilesensorforneuromorphicapplications AT petraruadrian spikingandadaptingtactilesensorforneuromorphicapplications AT kohlstedthermann spikingandadaptingtactilesensorforneuromorphicapplications |